Dr Noorul Amin
Dr

Noorul Amin

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Background

Noorul Amin is SAAFE CRC's foundational Postdoctoral Research Fellow in the data analytics program. His research focuses on advanced computational techniques in biological data, including omics data analysis and tools development. With a background in applying machine learning and data mining approaches to biological challenges, Noorul's current work centres on the intersection of data analytics and antimicrobial resistance, particularly in agribusiness, food security, and the environment.

He is seeking Honours and PhD students interested in applying machine learning, cloud computing, and big data approaches to biological research problems.

Availability

Dr Noorul Amin is:
Available for supervision

Fields of research

Bioinformatics and computational biology Biological Sciences

Qualifications

  • Masters (Research) of Computer Engineering, Kyung Hee University
  • Doctor of Philosophy of Computer Science, La Trobe University

Search Professor Noorul Amin’s works on UQ eSpace

12 works between 2015 and 2025
All (12) Journal Article (8) Conference Publication (4)

1 - 12 of 12 works

2025

Journal Article

Single-cell Rapid Capture Hybridization sequencing to reliably detect isoform usage and coding mutations in targeted genes

Peng, Hongke, Jabbari, Jafar S., Tian, Luyi, Wang, Changqing, You, Yupei, Chua, Chong Chyn, Anstee, Natasha S., Amin, Noorul, Wei, Andrew H., Davidson, Nadia, Roberts, Andrew W., Huang, David, Ritchie, Matthew E and Thijssen, Rachel (2025). Single-cell Rapid Capture Hybridization sequencing to reliably detect isoform usage and coding mutations in targeted genes. Genome Research, 35 (4), gr.279322.124-955. doi: 10.1101/gr.279322.124

Single-cell Rapid Capture Hybridization sequencing to reliably detect isoform usage and coding mutations in targeted genes

2024

Journal Article

Flexiplex: a versatile demultiplexer and search tool for omics data

Cheng, Oliver, Ling, Min Hao, Wang, Changqing, Wu, Shuyi, Ritchie, Matthew E., Goke, Jonathan, Amin, Noorul and Davidson, Nadia M. (2024). Flexiplex: a versatile demultiplexer and search tool for omics data. Bioinformatics, 40 (3) btae102, 3. doi: 10.1093/bioinformatics/btae102

Flexiplex: a versatile demultiplexer and search tool for omics data

2024

Journal Article

Single-cell Rapid Capture Hybridization sequencing (scRaCH-seq) to reliably detect isoform usage and coding mutations in targeted genes at a single-cell level

Peng, Hongke, Jabbari, Jafar S., Tian, Luyi, Chua, Chong Chyn, Natasha S. Anstee, Amin, Noorul, Wei, Andrew H., Davidson, Nadia M., Roberts, Andrew W., Huang, David C. S., Ritchie, Matthew E. and Thijssen, Rachel (2024). Single-cell Rapid Capture Hybridization sequencing (scRaCH-seq) to reliably detect isoform usage and coding mutations in targeted genes at a single-cell level. bioRxiv, 1-25. doi: 10.1101/2024.01.30.577942

Single-cell Rapid Capture Hybridization sequencing (scRaCH-seq) to reliably detect isoform usage and coding mutations in targeted genes at a single-cell level

2023

Conference Publication

Venetoclax has potent efficacy in NPM1 mutated AML with acquired resistance associated with either perturbed pro-survival signalling or NPM1 wild-type populations

Chua, Chong Chyn, Anstee, Natasha, Flensburg, Christoffer, Teh, Charis, Ivey, Adam, Amin, Noorul, Thijssen, Rachel, Bohlander, Stefan K., Kakadia, Purvi M., Xu, Zhen, Fong, Chun Yew, Ting, Stephen, Loo, Sun, Tiong, Ing Soo, Gray, Daniel, Fleming, Shaun, Davidson, Nadia, Roberts, Andrew W., Majewski, Ian, Wei, Andrew H. and Brown, Fiona C. (2023). Venetoclax has potent efficacy in NPM1 mutated AML with acquired resistance associated with either perturbed pro-survival signalling or NPM1 wild-type populations. 65th ASH Annual Meeting, San Diego, CA United States, 9-12 December 2023. Washington, DC United States: American Society of Hematology. doi: 10.1182/blood-2023-185321

Venetoclax has potent efficacy in NPM1 mutated AML with acquired resistance associated with either perturbed pro-survival signalling or NPM1 wild-type populations

2021

Journal Article

FexRNA: exploratory data analysis and feature selection of non-coding RNA

Amin, Noorul, McGrath, Annette and Chen, Yi-Ping Phoebe (2021). FexRNA: exploratory data analysis and feature selection of non-coding RNA. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18 (6), 2795-2801. doi: 10.1109/tcbb.2021.3057128

FexRNA: exploratory data analysis and feature selection of non-coding RNA

2020

Journal Article

Reply to: LncADeep performance on full-length transcripts

Amin, Noorul, McGrath, Annette and Chen, Yi-Ping Phoebe (2020). Reply to: LncADeep performance on full-length transcripts. Nature Machine Intelligence, 3 (3), 196-196. doi: 10.1038/s42256-019-0107-3

Reply to: LncADeep performance on full-length transcripts

2020

Journal Article

Author Correction: Evaluation of deep learning in non-coding RNA classification

Amin, Noorul, McGrath, Annette and Chen, Yi-Ping Phoebe (2020). Author Correction: Evaluation of deep learning in non-coding RNA classification. Nature Machine Intelligence, 2 (4), 236-236. doi: 10.1038/s42256-019-0143-z

Author Correction: Evaluation of deep learning in non-coding RNA classification

2019

Journal Article

Evaluation of deep learning in non-coding RNA classification

Amin, Noorul, McGrath, Annette and Chen, Yi-Ping Phoebe (2019). Evaluation of deep learning in non-coding RNA classification. Nature Machine Intelligence, 1 (5), 246-256. doi: 10.1038/s42256-019-0051-2

Evaluation of deep learning in non-coding RNA classification

2017

Conference Publication

Extracting top-K interesting subgraphs with weighted query semantics

Amin, Noorul, Khan, Kifayat Ullah, Dolgorsuren, Batjargal and Lee, Young-Koo (2017). Extracting top-K interesting subgraphs with weighted query semantics. 2017 IEEE International Conference on Big Data and Smart Computing (BigComp), Jeju, South Korea, 13-16 February 2017. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/bigcomp.2017.7881695

Extracting top-K interesting subgraphs with weighted query semantics

2016

Conference Publication

On efficiently summarizing a large dynamic graph

Khan, Kifayat Ullah, Rasel, Mostofa Kamal, Noorulamin, Muhammad, Nawaz, Waqas and Lee, Young-Koo (2016). On efficiently summarizing a large dynamic graph. 2016 International Conference on Big Data and Smart Computing (BigComp), Hong Kong, China, 18-20 January 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/bigcomp.2016.7425944

On efficiently summarizing a large dynamic graph

2015

Conference Publication

Analyzing subgraph isomorphism on graphs with diverse structural properties

Amin, Noorul, Khan, Kifayat Ullah and Lee, Young-Koo (2015). Analyzing subgraph isomorphism on graphs with diverse structural properties. BigDAS '15: 2015 International Conference on Big Data Applications and Services, Jeju Island, South Korea, 20-23 October 2015. New York, NY USA: Association for Computing Machinery. doi: 10.1145/2837060.2837088

Analyzing subgraph isomorphism on graphs with diverse structural properties

2015

Journal Article

Distance-constraint k-nearest neighbor searching in mobile sensor networks

Han, Yongkoo, Park, Kisung, Hong, Jihye, Ulamin, Noor and Lee, Young-Koo (2015). Distance-constraint k-nearest neighbor searching in mobile sensor networks. Sensors, 15 (8), 18209-18228. doi: 10.3390/s150818209

Distance-constraint k-nearest neighbor searching in mobile sensor networks

Availability

Dr Noorul Amin is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Available projects

  • Generative and Federated Machine Learning in Antimicrobial Resistance in Australian Agribusiness

    Doctor of Philosophy

  • Integrating Antimicrobial Resistance Data Across OneHealth Using a Semantic Interoperability Framework

    Doctor of Philosophy

  • Developing an AI-Powered Contextual Knowledge Graph for Agricultural Optimization

    Master/Honours

  • AMR Digital Twin: A Synthetic Intelligence Framework for Risk Assessment in Australian Agribusiness, Food Processing, and Environmental Sectors Using Machine Learning

    Doctor of Philosophy

  • Integrating Antimicrobial Resistance Data Across OneHealth Using a Semantic Interoperability Framework

    Doctor of Philosophy

  • Developing an AI-Powered Contextual Knowledge Graph for Agricultural Optimization

    Master/Honours

  • Self-Evolving Ontology and Integration Framework for Cross-Sectoral Antimicrobial Resistance and Usage Data Integration, Correlation, and Causality Across Agriculture, and Environmental Systems

    Doctor of Philosophy

  • AMR Digital Twin: A Synthetic Intelligence Framework for Risk Assessment in Australian Agribusiness, Food Processing, and Environmental Sectors Using Machine Learning

    Doctor of Philosophy

  • Integrating Antimicrobial Resistance Data Across OneHealth Using a Semantic Interoperability Framework

    Doctor of Philosophy

  • Developing an AI-Powered Contextual Knowledge Graph for Agricultural Optimization

    Master/Honours

  • Self-Evolving Ontology and Integration Framework for Cross-Sectoral Antimicrobial Resistance and Usage Data Integration, Correlation, and Causality Across Agriculture, and Environmental Systems

    Doctor of Philosophy

  • AMR Digital Twin: A Synthetic Intelligence Framework for Risk Assessment in Australian Agribusiness, Food Processing, and Environmental Sectors Using Machine Learning

    Doctor of Philosophy

  • Integrating Antimicrobial Resistance Data Across OneHealth Using a Semantic Interoperability Framework

    Doctor of Philosophy

  • Developing an AI-Powered Contextual Knowledge Graph for Agricultural Optimization

    Master/Honours

  • Self-Evolving Ontology and Integration Framework for Cross-Sectoral Antimicrobial Resistance and Usage Data Integration, Correlation, and Causality Across Agriculture, and Environmental Systems

    Doctor of Philosophy

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